doi: 10.7763/IJIMT.2012.V3.318
Optimal Location of Fast Charging Station on Residential Distribution Grid
- 1Thammasat University, Thailand while holding an academic staff member at the North Eastern University,Thailand.
- 2Department of Electrical and Computer Engineering, Thammasat University, Thailand.
Abstract
The population of the Electric vehicle (EV) has been increasing rapidly worldwide due to its environmental friendly. However, there is a need to prepare effective electric charging station infrastructures to fill up battery for future day-to-day energy consumption. Then the electric charging station must be extensively installed to sufficiently serve a number of EVs, especially in metropolitan areas. Since electric charging station will be used simultaneously by many EVs and may lead to the unreliability of the distribution system. This paper therefore proposes an optimal location of fast charging station (FCS) on residential distribution grid aiming to minimize annual cost of power line loss, travelling cost of EVs in recharging, investment cost and variable cost of operation of FCS while maintaining system security. Ant colony optimization (ACO) is employed to minimize total cost by searching best location of FCS in a traffic area. A modified IEEE 69-bus system is used to verify the proposed technique. The results show that the proposed method found the optimal location of FCS on residential power distribution system with minimum cost while satisfying security constraints.
Keywords
- Distribution system
- electric vehicle
- ant colony optimization and fast charging station
How to Cite
Prakornchai Phonrattanasak and Nopbhorn Leeprechanon, "Optimal Location of Fast Charging Station on Residential Distribution Grid," International Journal of Innovation, Management and Technology, vol. 3, no. 6, pp. 675-681, 2012. https://doi.org/10.7763/IJIMT.2012.V3.318
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).